Description:

The Applied Machine Learning Engineer will work remotely and is required to be based in the Eastern Timezone of the United States.
Candidates must have at least 5+ years of hands-on experience in building and deploying ML models that contribute to core product features at scale.
The role requires advanced proficiency in Python, pandas, and SQL, with the ability to manage the entire ML lifecycle from data ingestion to production deployment.
The engineer will transform ML insights into clear narratives, enabling stakeholders to understand and act on model outputs.
A degree in Mathematics, Statistics, Computer Science, or a related Engineering field is required, or equivalent practical experience.
Ideal candidates will have familiarity with diagnosing data quality issues and experience with anomaly detection and data analytics.
Experience with Large Language Models (LLMs) is a plus, as is prior engineering experience across different layers of the data stack.
Responsibilities include tackling enterprise-scale data quality challenges, leading the development of core features, and expanding LLM capabilities.
The engineer will enhance interpretable ML solutions, create custom visualizations, and invent methodologies for data monitoring and validation.
Collaboration with customers and mentoring peers is expected, along with adapting ML expertise to various datasets.

Requirements:

Candidates must have a minimum of 5+ years of experience in building and deploying ML models that impact core product features.
Advanced proficiency in Python, pandas, and SQL is required for managing the ML lifecycle.
A strong ability to communicate complex ML insights clearly to both technical and non-technical stakeholders is essential.
A degree in Mathematics, Statistics, Computer Science, or a related field is necessary, or equivalent practical experience.
Familiarity with data quality issues and experience in anomaly detection and data analytics is preferred.
Experience with Large Language Models (LLMs) is advantageous.
Prior engineering experience across different layers of the data stack is beneficial.

Employees will enjoy a collaborative and inclusive culture that values innovation and learning.
Professional growth and mentorship opportunities are provided through cutting-edge projects.
Employees can make a tangible impact on how businesses handle data.
A fully remote work environment is offered, along with a $1,000 stipend for remote office setup.
Quarterly company-wide offsite meetings are held to foster team bonding.
Employees receive 17 company holidays and unlimited vacation time, with a company-wide winter break.
Comprehensive family-friendly medical, dental, and vision insurance plans are provided, with Anomalo covering 90% of premiums.
Family planning and reproductive care services are available through a partnership with Carrot Fertility.
Mental health and wellness benefits are covered at 100%.
Employees are entitled to 16 weeks of parental leave at full pay.
A meaningful equity package is granted to every employee, along with life insurance and a 401(k) plan.